As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how to include humans in future AI? Despite humaninvolvement at every stage of the production process from conception and design through to implementation, modern AI is still often criticized for...

In this chapter, we ask (conceptually and methodologically) what exactly is behavioural economics and what are its roots? And further, what may we have missed along the way? We argue that revisiting "classical" behavioural economics concepts and methods will benefit the wider behavioural...

We develop a measure of labour market opportunities for heterogenous types of worker, exploiting information on their suitability different jobs encoded in historical patterns of worker mobility. We provide a theoretical foundation for our measure, which features naturally in a general random...

The history of AI in economics is long and winding, much the same as the evolving field of AI itself. Economists have engaged with AI since its beginnings, albeit in varying degrees and with changing focus across time and places. In this study, we have explored the diffusion of AI and different...

We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market shares. We explore how these indicators relate...

The recent acceleration and ongoing development in Artificial Intelligence (AI) and its related (and/or enabling) digital technologies presents new challenges and considerable opportunity on which businesses and individuals may capitalise. In the era of BD - and with increasing societal value...